Triple
T16696221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Lit |
E405721
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Skepta |
E292173
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Skepta | Statement: [Die Lit, featuresArtist, Skepta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skepta Context triple: [Die Lit, featuresArtist, Skepta]
-
A.
Skepta
chosen
Skepta is a British grime MC, rapper, and producer known for pioneering the UK grime scene and achieving international success with hits like "Shutdown" and "That's Not Me."
-
B.
Tinie Tempah
Tinie Tempah is a British rapper and songwriter known for his chart-topping hits and influential role in the UK grime and hip-hop scenes.
-
C.
Dizzee Rascal
Dizzee Rascal is a British rapper, songwriter, and producer known as a pioneer of the grime genre and for hits like "Fix Up, Look Sharp" and "Bonkers."
-
D.
Sheff G
Sheff G is a Brooklyn-based rapper recognized as one of the pioneers who helped popularize the New York drill sound.
-
E.
Sarkodie
Sarkodie is a renowned Ghanaian rapper and songwriter celebrated as one of Africa’s leading hip-hop and Afrobeats artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919d02088190acecb1a62a100255 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.